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Python Automation Testing Jobs in Lancaster, PA (NOW HIRING)

Lead MES Engineer

Yocumtown, PA · On-site

$98K - $129K/yr

... leading acceptance testing * Configure and administer the Ignition Gateway (Designer, Vision ... Hands-on experience with Ignition (Inductive Automation), including Gateway administration ...

Lead MES Engineer

Yocumtown, PA · On-site

$98K - $129K/yr

... leading acceptance testing * Configure and administer the Ignition Gateway (Designer, Vision ... Hands-on experience with Ignition (Inductive Automation), including Gateway administration ...

Lead MES Engineer

Yocumtown, PA · On-site

$98K - $129K/yr

... leading acceptance testing * Configure and administer the Ignition Gateway (Designer, Vision ... Hands-on experience with Ignition (Inductive Automation), including Gateway administration ...

Lead MES Engineer

Yocumtown, PA · On-site

$98K - $129K/yr

... leading acceptance testing * Configure and administer the Ignition Gateway (Designer, Vision ... Hands-on experience with Ignition (Inductive Automation), including Gateway administration ...

Knowledge of EMI/EMC compliance testing and mitigation techniques * Background in scripting or automation (MATLAB, Python) for data analysis * Experience with lab instrumentation: VNAs, oscilloscopes ...

Knowledge of EMI/EMC compliance testing and mitigation techniques * Background in scripting or automation (MATLAB, Python) for data analysis * Experience with lab instrumentation: VNAs, oscilloscopes ...

Showing results 21-27

Python Automation Testing information

See Lancaster, PA salary details

$10

$49

$73

How much do python automation testing jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for python automation testing in Lancaster, PA is $49.83, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $56.78 per hour, depending on experience, location, and employer.

What is Python automation testing?

Python Automation Testing refers to the process of using Python programming language to write scripts that automatically test software applications. These scripts can validate functionality, performance, and reliability of software, reducing the need for manual testing and speeding up the development cycle. Python is popular for automation testing because of its readability, extensive libraries like Selenium and PyTest, and strong community support. Automation tests can be integrated into continuous integration pipelines to ensure consistent quality across software releases.

What are the key skills and qualifications needed for Python automation testing?

To thrive as a Python Automation Testing professional, you need strong proficiency in Python programming, knowledge of software testing methodologies, and experience with test automation frameworks, often supported by a degree in computer science or a related field. Familiarity with tools such as Selenium, PyTest, Jenkins, and version control systems like Git is typically required, along with certifications like ISTQB being advantageous. Analytical thinking, attention to detail, and effective communication skills help testers identify issues, collaborate with teams, and document findings clearly. These competencies ensure the creation of reliable, maintainable automated tests that improve software quality and streamline development cycles.

What are common challenges in Python automation testing, and how can they be addressed?

One common challenge in Python Automation Testing is maintaining test scripts as applications evolve, which can lead to flaky tests or outdated scripts. To address this, it's important to implement modular and reusable code, and regularly review and refactor test cases. Collaborating closely with developers and participating in code reviews can also help testers anticipate changes and adapt their tests proactively. Additionally, integrating robust reporting and logging mechanisms helps quickly identify and resolve issues, ensuring the reliability of the automated test suite.

What is the difference between Python Automation Testing vs Manual Software Testing?

AspectPython Automation TestingManual Software Testing
Required SkillsPython programming, automation tools, scriptingTest case execution, attention to detail, communication
Work EnvironmentAutomated testing frameworks, scripting environmentsTest labs, user environments, manual execution
Industry UsageSoftware development, QA teams, continuous integrationInitial testing phases, exploratory testing, user acceptance

Python Automation Testing involves writing scripts to automate test cases, increasing efficiency and repeatability. Manual Software Testing requires testers to execute test cases manually, focusing on exploratory and usability aspects. Both roles are essential in software quality assurance, but Python Automation Testing emphasizes automation skills, while manual testing emphasizes detailed test execution and observation.

What job categories do people searching Python Automation Testing jobs in Lancaster, PA look for?

The top searched job categories for Python Automation Testing jobs in Lancaster, PA are:

What cities near Lancaster, PA are hiring for Python Automation Testing jobs?

Cities near Lancaster, PA with the most Python Automation Testing job openings:

Infographic showing various Python Automation Testing job openings in Lancaster, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $103,653 per year, or $49.8 per hour.

Senior Cloud Data Engineer / Modern Data Stack Focus

Lititz, PA • On-site, Remote

WebstaurantStore
Wholesale • 5 - 10K employees

$106K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Key responsibilities

  • Design and implement a standardized ELT-based ingestion framework into Snowflake.

  • Build and maintain scalable data pipelines for structured and semi-structured data from various sources.

  • Lead the migration from SQL Server to Snowflake and guide the development of the enterprise data ingestion ecosystem.


WebstaurantStore rating

8.0

Company rating: 8.0 out of 10

Based on 63 frontline employees who took The Breakroom Quiz


Job description

Job Summary

The Enterprise BI & Analytics Team serves as the enterprise data and analytics center of excellence at WebstaurantStore. We transform billions of data points across marketing, supply chain, operations, and customer experience into trusted data foundations and actionable insights. Leveraging a modern cloud data platform, scalable ELT architecture, and automated DataOps workflows, the team empowers smarter decisions, rapid growth, and new opportunities across the business. 

As a Senior Cloud Data Engineer, you will architect and own the next generation of our modern data ingestion and integration ecosystem. You will lead the development of a unified ingestion framework into Snowflake—building scalable, automated, and high-throughput data pipelines that power analytics and data products enterprise-wide. You will play a key role in our data warehouse modernization initiative, guide our transition from SQL Server to Snowflake, mentor engineers, and help define the future state of our cloud data architecture. 

Responsibilities

Senior Cloud Data Engineers are hands-on technical leaders and trusted partners to BI developers, analytics engineers, and cross-functional teams. You will drive innovation across our ingestion layer and enable scalable, reliable, and governed data movement throughout the enterprise. 

Core Responsibilities 

Modern Data Engineering & ELT Architecture 

  • Lead the design and implementation of a standardized ELT-based ingestion framework into Snowflake. 
  • Design scalable ingestion pipelines for structured and semi-structured data from APIs, databases, cloud storage, flat files, and collaboration platforms. 
  • Build and maintain Fabric Pipelines to support cloud-native orchestration and pipeline automation. 
  • Develop reusable Python libraries and ingestion accelerators to standardize engineering practices. 
  • Implement robust monitoring, logging, and data reliability engineering practices to ensure SLA adherence. 
  • Refactor and optimize legacy ingestion processes to align with modern data stack best practices. 
  • Drive and support the migration from SQL Server to Snowflake. 

Technical Leadership 

  • Act as the lead architect for enterprise ingestion strategy, mentoring engineers and guiding technical design decisions. 
  • Champion best practices in CI/CD, version control, automated testing, and infrastructure-as-code principles within the data engineering function. 
  • Perform code reviews and enforce architectural standards. 
  • Partner with BI leadership to plan capacity, prioritize initiatives, and execute delivery roadmaps. 
  • Foster a culture of engineering ownership, accountability, and innovation. 

Strategy & Execution 

  • Collaborate with business and analytics stakeholders to translate requirements into scalable ingestion designs. 
  • Evaluate emerging tools and technologies within the modern data stack ecosystem. 
  • Contribute to long-term cloud data strategy and architectural evolution. 
  • Ensure enterprise-grade governance, security, compliance, and data quality controls. 
Physical Requirements
  • Work is performed while sitting/standing and interfacing with a personal computer.
  • Requires the ability to communicate effectively using speech, vision, and hearing.
  • Requires the regular use of hands for simple grasping and fine manipulations.
  • Requires occasional bending, squatting, crawling, climbing, and reaching.
  • Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs.
Remote Work Qualifications
  • Access to a reliable and secure high-speed internet connection. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.
  • Access to a home router and modem.
  • A dedicated home office space that is noise- and distraction-free. The space should have strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible).
  • A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment.
  • The desire and ability to work and communicate with other team members via chat, webcam, etc.
  • Legal residents of one of the following states: (AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY). H-1B Visa Sponsorship Not Available, W2 only.
Experience
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline; or equivalent experience. 
  • 7–10 years of experience in data engineering or cloud data development roles. 
  • 5+ years of hands-on Snowflake experience, including ingestion architecture, performance optimization, and workload management. 
  • 4–6 years building pipelines using Microsoft Fabric Pipelines or comparable orchestration frameworks. 
  • 4–6 years of Python development for data automation and pipeline engineering. 
  • 5+ years of advanced SQL experience, including deep expertise in SQL Server and CDC methodologies. 
  • 5+ years operating in Agile/Scrum delivery environments. 
  • 3+ years in a technical leadership capacity within data engineering initiatives. 
  • Experience with event-based ingestion, streaming pipelines, or data contract–driven architectures. 
  • Experience with Qlik Replicate and dbt Cloud. 
  • Microsoft Azure experience. 
  • Relevant cloud or data platform certifications preferred. 
Education

This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.

Desired Traits & Skills
  • Expertise in cloud data warehouse architecture and scalable ELT frameworks. 
  • Strong command of Snowflake internals, optimization strategies, and ingestion design patterns. 
  • Advanced Python and SQL proficiency. 
  • Experience implementing data observability and pipeline reliability solutions. 
  • Deep understanding of dimensional modeling and enterprise data warehousing concepts. 
  • Proven ability to lead complex modernization initiatives. 
  • Strong stakeholder engagement and technical communication skills. 
  • Ability to thrive in a fast-paced, growth-oriented environment. 
  • Passion for building reliable, scalable, and future-ready data platforms. 
Company Overview

The foodservice professional’s premier source for restaurant equipment, supplies, and knowledge online. Our purpose is to empower and equip people to run their businesses more profitably and efficiently.

Benefits
  • Medical
  • Vision
  • Dental
  • PTO
  • Paid Maternity Leave
  • Paid Parental Leave
  • Life Insurance
  • Disability
  • Dependent Care FSA
  • 401(k) matching
  • Employee Assistance Program
  • Wellness Incentives
  • Company Discounts
  • AT&T & Verizon Discount
  • Bonus Opportunities
  • Accident Insurance
  • Critical Illness Insurance
  • Adoption Assistance
Available at HQ Locations Only
  • On-Site Fitness Centers
  • Dog-friendly Offices

What WebstaurantStore employees say

Pay

Benefits

Hours and flexibility

Workplace

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